Vetted Engineering Professionals

“Software engineer with strong end-to-end ownership of search and listing systems (React/TypeScript frontend with Node.js + Spring Boot backends), focused on shipping fast while managing risk via feature flags, testing, and metrics. Demonstrated measurable UX/performance wins (reduced latency and search abandonment) and built internal observability tooling (dashboard + alerts) that improved incident response. Experienced with microservices reliability patterns including idempotency and dead-letter queues.”

“Frontend-focused engineer operating at a staff level with experience at Amazon and startups, known for rescuing high-impact, frontend-heavy systems through architecture, performance, and quality improvements. Delivered outsized results including cutting load times from ~90s to ~3s, raising test coverage from <1% to >80%, and enabling multi-team adoption of modern state management via training sessions for 50+ engineers.”

“Senior frontend engineer with experience leading high-impact React/TypeScript products at HelloFresh and CAA, including an A/B-tested onboarding flow shipped across multiple international brands. Modernized a legacy .NET frontend to Next.js using SSR and performance techniques (caching/memoization/lazy loading) and implemented robust testing/monitoring (Cypress, Honeycomb, GA) in fast-paced, production-deploy environments.”

“Robotics software engineer with hands-on ROS2 autonomy experience across F1TENTH and Turtlebot platforms, building planning/control behaviors (Pure Pursuit, Follow-the-Gap, emergency braking, PID wall following) and validating in Gazebo/RViz. Also integrated a custom curvature-based speed planning node into Autoware (with AWSIM), demonstrating practical autonomy stack integration and strong debugging of LiDAR pipelines.”

“Software engineer with Capital One experience contributing to shared internal “open-source style” JavaScript/React/TypeScript libraries (component library and hooks/utilities). Drove measurable performance gains (~25% improvement) by refactoring hooks to prevent unnecessary re-renders, and improved adoption via stronger documentation, testing (Jest), semver discipline, and code review/PR workflows; also stabilized a backend service by adding monitoring and automated tests in an unstructured project.”

“Built a production internal RAG-based Q&A assistant at Huawei for ~4,000 engineers over a 12M-document Elasticsearch corpus, replacing link-only search with synthesized answers and achieving 87% user acceptance while keeping hallucinations under 0.4%. Pairs rigorous offline benchmarking (RAGAS, PR-gated F1 improvements) with human A/B testing and OpenTelemetry-based production monitoring, and also has strong Kubernetes/SRE experience orchestrating 50+ gRPC services with major MTTR and pager-fatigue reductions.”

“Development manager focused on developer productivity and platform enablement in a polyglot microservices environment. Drove ~50% productivity gains by evaluating and rolling out AI coding copilots with team training and cross-team demos, and designed a Disaster Recovery framework adopted by 50+ microservice teams. Also led edge-focused Python runtime optimization and relies on heavy test automation to safely execute large refactors during major platform upgrades.”

“Backend engineer focused on building production-ready Python services (Flask/FastAPI) with strong performance and scalability instincts—Celery/Redis background processing, robust multi-tenant isolation (Postgres RLS), and pragmatic CI/Docker operations. Demonstrated measurable DB optimization impact (cut a critical analytics query from ~1–2s to ~100–150ms) and has hands-on experience integrating LLM/ML workflows (OpenAI, LangChain, embeddings, Redis/FAISS vector stores) without degrading API responsiveness.”

“Built a production AI-driven QA automation platform using a multi-agent architecture (MCPs + LangGraph) to run parallel website tests across multiple device environments via automated image building and containerization. Currently collaborating with restaurant operators and managers to deliver an agentic restaurant analytics system, emphasizing deep domain discovery with non-technical stakeholders.”

“Backend/DevOps-focused engineer with healthcare and financial systems experience, including an ICU readmission risk platform delivering real-time ML scores via a secure FastAPI service (PyTorch model serving, PostgreSQL, Celery/Redis) deployed on AWS with strong observability. Has hands-on Kubernetes GitOps delivery (Helm, ArgoCD, HPA) and has supported a JPMC on-prem-to-AWS microservices migration using phased validation and blue-green cutovers, plus Kafka/Avro streaming for real-time transaction processing.”

“Backend/automation engineer who led the design of an OOP Python test automation framework for AWS infrastructure (Behave + Jenkins), cutting regression effort from weeks to a 3–4 hour run. Has hands-on cloud and DevOps experience across AWS (boto3, ECS, AMI automation via GitHub Actions) plus data/migration work including on-prem-to-cloud Oracle Retail DB migration with rollback planning and a Kafka + ML fraud-detection streaming pipeline.”

“Hands-on technical professional experienced in taking LLM/AI-adjacent integrations from prototype to production, using customer observation to refine UX and uncover edge cases. Diagnoses workflow issues in real time using logs and Sankey-style workflow analysis, and communicates fixes with clear short/long-term plans plus proactive alerting. Also partners cross-functionally to drive adoption and cost savings, including a POC around IBM Sterling Integrator that reduced licensing costs by $30K/year.”

“Full-stack engineer with strong DevOps/AWS production experience who builds and operates multi-agent AI systems end-to-end (Streamlit/Python through Docker/Kubernetes and ECS/Fargate). Has delivered measurable outcomes: sub-2s latency and ~92% routing accuracy for an AI wellness assistant, shipped an AI-for-BI prototype in under 6 weeks cutting analysis time ~40%, and improved pipeline iteration speed ~35% via modularization and CI/regression checks.”

“Head of Robotics at Orbital Composites who built the full ROS-based software stack ("OrbOS") for multi-robot KUKA-arm 3D printing of carbon-fiber composite geometries. Deep in motion planning and real-time control—created a pipeline to turn underconstrained toolpaths into optimal joint trajectories at massive command scale, plus redundant safety gatekeeping and a 250Hz synchronized robot+extruder controller. Has operated in a technical-founder capacity for ~6 years and values an engineering culture of openness, honesty, accountability, and high ownership.”

“Engineering manager leading a 15-person team at FBN on the Gridbull platform, shipping a self-serve pricing/quoting tool for structured commodity products using real-time futures market data. Owns architecture and reliability for third-party data integrations (WebSocket + REST fallback), including resolving a day-one production incident caused by undocumented vendor connection resets. Introduced lightweight Technical Implementation Plans to improve cross-functional alignment and delivery speed in a high-growth environment.”

“Game QA professional with live production experience owning QA strategy for a cross-platform seasonal loadout system in a live server shooter. Works in Agile/Scrum with CI/CD, using Jira + TestRail (including two-way sync) to drive traceable test coverage and fast triage via evidence-rich bug reports. Emphasizes risk-based coverage, regression discipline across builds, and converting gameplay feel into actionable design/engineering feedback.”

“Full-stack engineer with fintech/trading domain experience (Fidelity) and startup SaaS CRM/billing platform work (Zoho), building real-time portfolio analytics and trade-processing systems. Strong in microservices, event-driven architectures (Kafka/WebSockets), and AWS/Kubernetes operations with measurable performance gains (~34–35% latency reduction) and maintainability improvements (~40% faster deployments). Targeting a founding full-stack engineer role in NYC with meaningful equity.”

“CTO candidate with experience supporting startups targeting Series A/Series B funding and a strong grasp of how funding choices affect ownership. Emphasizes building clean-slate architecture and organizations, and uses market/UX research plus AI-enabled rapid prototyping and architectural trade-off analysis to validate ideas quickly.”

“Built and operated a production TypeScript backend for a stateful conversational quoting chatbot at Tringapps, orchestrating multi-step workflows and session state while integrating with Salesforce and NetSuite. Implemented validation/retry logic, modular architecture, and strong logging/observability to handle real-world edge cases and external API failures.”

“Software engineer with strong end-to-end ownership across frontend, backend, data, and infrastructure, including real-time systems (Kafka/Postgres) and observability (Datadog). Built and productionized an AI-native RAG support assistant (OpenAI embeddings + Pinecone) with prompt/guardrail design, achieving 48% agent adoption and 30% faster responses. Experienced in legacy modernization and reliability work using feature flags, event/transaction replay, and rapid embedded delivery.”

“Built GoEngineer’s first production AI systems, including an end-to-end RAG pipeline for SolidWorks technical support using Azure Blob Storage, Azure AI Search, and Azure OpenAI, plus an AI summarization feature adopted by sales/customer success. Strong in productionizing LLM workflows with evaluation harnesses (golden sets, LLM-as-judge, red teaming, shadow deploys) and Azure infrastructure integrations (Redis, Service Bus, App Insights), and has also implemented a custom MCP server for agentic monitoring.”

“Built and shipped production LLM/RAG systems at Mayo Clinic, including a conversational AI assistant for patient pre-consultation and a clinical-trial matching tool for doctors. Implemented HIPAA-compliant de-identification and guardrails, plus real-time feedback logging and fine-tuning that improved response accuracy by 15% and reduced admin workload by 25%.”

“Infrastructure/operations engineer with deep IBM Power/AIX experience (AIX 7.x, VIOS, HMC/vHMC) managing ~15–25 LPARs across production and DR, including live DLPAR changes and structured performance troubleshooting. Also hands-on with PowerHA/HACMP incident recovery and failover testing, plus broader DevOps delivery building Jenkins CI/CD for containerized microservices and Terraform/Ansible IaC across AWS and Azure, and leading Solaris SPARC to x86 migration cutovers.”

“Built and shipped a production LLM-powered customer support triage/resolution agent that automated ~60% of tickets, cutting response times from hours to seconds and improving first-response resolution by ~40%. Experienced designing multi-tenant, tenant-isolated agent architectures with RAG, schema-based tool calling/strict JSON validation, and strong reliability practices (guardrails, retries, fallbacks, monitoring), including safe integration with messy ERP-like data.”